Sentence examples for trajectory of expression from inspiring English sources

In sequencing two anatomically interconnected regions at the same time from the same subjects, we were able to directly compare the magnitude and trajectory of expression in juvenile and mature animals at key time points before and after the onset of hearing.

Taken together, our results indicate that postnatal ketanserin treatment prevents the altered regulation of specific genes known to be perturbed in the adult PFC following MS. We next sought to examine whether postnatal treatment with the 5-HT2 receptor antagonist ketanserin during MS influences the trajectory of expression of 5-HT2A and 5-HT2C receptors within the PFC.

However, unlike the models mentioned above, my modeling approach allowed to simulate and track the continuous trajectories of expression patterns in one-dimensional virtual syncytial embryos, over developmentally relevant time scales.

Similarly, members of the chromobox homolog (CBX) gene family showed opposite trajectories of expression (Fig. 4C) with CBX1A/B, CBX2, and CBX5 in cluster 1 and CBX7A/B and CBX8A/B in clusters 2 and 6.

According to [ 41- 43], in microarray data analysis, genes are considered to be in the same cluster if their trajectory patterns of expression levels are similar across a set of conditions.

Don't expect a predictable or constant trajectory of the expression of your sadness.

While the overall trajectory of the expression profile may be similar between patients, different patients may progress at different speeds.

As shown in Ref. [ 3], when some type of differentiated cell is removed from a cell population, the trajectory of chaotic expression dynamics in stem cells is modulated according to the resulting change in cell-cell interaction.

The TANOVA results show that if the trajectory of gene expression with increased age is towards decreasing mRNA abundance, then these genes are much more likely to be decreased in expression in the striata of YAC128 mice compared with wild-type: 39 such differentially expressed genes decreased in expression in YAC128 mice compared with 4 increased in expression.

Given a truth table, the network evolves as a trajectory of gene-expression vectors (states) X t ∈ {0, 1} n, each known as a gene activity profile (GAP).

Our task was to learn the networks from two types of data, namely gene expression profiles in deletion strains (the 'deletion data') and time series trajectories of gene expression after some initial perturbation (the 'perturbation data').